Codesign d’une solution en cybersanté : cartographie et dynamique de l’expérience de trois participants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Le codesign, ou la participation de l'utilisateur visé par un produit ou service à la conception est prometteuse, mais ne garantit pas pour autant l'atteinte des objectifs.Mobilisant les plus récents travaux du cours d'action [THE 15], nous avons examiné l'expérience de trois personnes ayant pris part à des séances de codesign en cybersanté.Notre analyse a permis d'obtenir des cartographies de l'expérience de ces personnes qui présente visuellement la dynamique de leur expérience et souligne ce qui a été significatif de leur point de vue.Nos résultats suggèrent que les participants ont été fortement mobilisés par la réinterprétation des éléments qu'ils croyaient partagés dans leurs communautés.Ils étaient préoccupés par des problèmes systémiques qui, bien que complémentaires, remettaient en question la solution envisagée pour le projet de codesign.Nos résultats nous mènent à proposer trois pistes à explorer pour optimiser la démarche de codesign.ABSTRACT.Codesign, or the involvement of target users in the design of a product or service, is promising but does not guarantee the achievement of objectives.Drawing on the latest work from the course of action [THE 15], we examined the experience of three people who participated in codesign sessions in cyberhealth.Our analysis resulted in maps of these individuals' experiences, which visually represent the dynamics of their experience and highlight what was significant from their point of view.Our results suggest that participants were strongly mobilized by the reinterpretation of elements they believed were shared in their communities.They were concerned with systemic issues that, although complementary, questioned the solution proposed for the cogesign project.Our results lead us to propose three avenues to explore in order to optimize the codesign process.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.011 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it